Error-correcting decoders for communities in networks

Autor: Krishna C. Bathina, Filippo Radicchi

Publikováno v: Applied Network Science, Vol 4, Iss 1, Pp 1-15 (2019)

Abstract As recent work demonstrated, the task of identifying communities in networks can be considered analogous to the classical problem of decoding messages transmitted along a noisy channel. We leverage this analogy to develop a community detecti

Externí odkaz: https://doaj.org/article/df810ad8288a48a88a50f4158d18c174

Declining well-being during the COVID-19 pandemic reveals US social inequities

Autor: Danny Valdez, Marijn ten Thij, Krishna C. Bathina, Johan Bollen, Lauren A. Rutter

Publikováno v: PLoS ONE
PLOS ONE, 16(7):0254114. Public Library of Science
PLoS ONE, 16(7)
PLoS ONE, Vol 16, Iss 7, p e0254114 (2021)

Background The COVID-19 pandemic led to mental health fallout in the US; yet research about mental health and COVID-19 primarily rely on samples that may overlook variance in regional mental health. Indeed, between-city comparisons of mental health d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29e0cb4b5d18530b2c72aa9e2c1544b1
https://pubmed.ncbi.nlm.nih.gov/34237087

Social Media Insights Into US Mental Health Amid the COVID-19 Pandemic. A Longitudinal Twitter Analysis (JANUARY-APRIL 2020)

Autor: Krishna C. Bathina, Johan Bollen, Danny Valdez, Marijn ten Thij, Lauren A. Rutter

BackgroundThe COVID-19 pandemic led to unprecedented mitigation efforts that disrupted the daily lives of millions. Beyond the general health repercussions of the pandemic itself, these measures also present a significant challenge to the world’s m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f00057e1e524a40478eb65d5e98b6b29
https://doi.org/10.1101/2020.12.01.20241943

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Autor: Krishna C. Bathina, Lauren A. Rutter, Danny Valdez, Marijn ten Thij, Johan Bollen

Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 12, p e21418 (2020)
Journal of Medical Internet Research, 22(12):21418. JMIR Publications Inc.

BackgroundThe COVID-19 pandemic led to unprecedented mitigation efforts that disrupted the daily lives of millions. Beyond the general health repercussions of the pandemic itself, these measures also present a challenge to the world’s mental health

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20f30e57e7543481dc66680ec6c160a
https://doi.org/10.2196/21418

An Agent-Based Model of Posting Behavior During Times of Societal Unrest

Autor: Jiejun Xu, Krishna C. Bathina, Aruna Jammalamadaka, Tsai-Ching Lu

Publikováno v: Social, Cultural, and Behavioral Modeling ISBN: 9783319602394
SBP-BRiMS

Social media is increasingly monitored during periods of societal unrest to gauge public response and estimate the duration and severity of related protest events. To this end, we build an agent-based simulation model that accurately describes the sh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0424828f4536ec62159f41c2b06a2515
https://doi.org/10.1007/978-3-319-60240-0_6